This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, after few months, the followups patients overwhelmed the clinics.
Therefore waiting list has been built up again. By running this model,
clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, after few months, the followups patients overwhelmed the clinics.
Therefore waiting list has been built up again. By running this model,
clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
Variante del modelo SEIRDQ con confinamiento imperfecto, donde el 75% de los susceptibles son confinados al superar un umbral de infectados, pero conservan un 1% de su susceptibilidad original, permitiendo una transmisión residual del virus.
Simple bathtub model to show the difference between Stock and Flow. Run the model with various values for filling and draining to see the implications.
Extensión del modelo SEIRD que introduce un mecanismo de confinamiento perfecto: cuando los infectados superan un umbral predefinido, se confina automáticamente al 75% de la población susceptible, eliminando completamente su exposición al virus.
Extensión del modelo SEIRD que introduce un mecanismo de confinamiento perfecto: cuando los infectados superan un umbral predefinido, se confina automáticamente al 75% de la población susceptible, eliminando completamente su exposición al virus.
Modelo básico SEIRD que simula la propagación de una enfermedad infecciosa dividiendo la población en cinco compartimentos: Susceptibles, Expuestos, Infectados, Recuperados y Fallecidos.
Simple bathtub model to show the difference between Stock and Flow. Run the model with various values for filling and draining to see the implications.
Before addressing the specific case of the smallpox epidemic among the Aztecs, it is important to introduce the basic epidemiological model known as SIR (Susceptible – Infected – Recovered). This model helps explain how an infection spreads through a population over time by classifying people into three main categories:
Susceptible (S): Individuals who have not yet been infected but are at risk.
Infected (I): Individuals who have contracted the disease and can transmit it.
Recovered (R): Individuals who are no longer contagious, either because they have developed immunity or have died.
Modelo básico SEIRD que simula la propagación de una enfermedad infecciosa dividiendo la población en cinco compartimentos: Susceptibles, Expuestos, Infectados, Recuperados y Fallecidos.
One of the most powerful principles of systems thinking is that the structure of a system determines the patterns of behavior we observe over time. Trying to change behavior without altering structure is like treating symptoms without curing the cause.
One of the most powerful principles of systems Este artículo explora el principio fundamental del pensamiento sistémico que establece que la estructura de un sistema determina su comportamiento. A través del caso del programa estadounidense TANF (Asistencia Temporal para Familias Necesitadas) —que ofrece apoyos económicos, alimentos básicos y servicios asociados— se ilustran tres configuraciones estructurales distintas que generan comportamientos radicalmente diferentes. Este análisis está orientado a propósitos educativos y muestra cómo una comprensión profunda de las estructuras permite intervenir de manera más efectiva tanto en sistemas sociales como organizacionales.
Simple bathtub model to show the difference between Stock and Flow. Run the model with various values for filling and draining to see the implications.
This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, after few months, the followups patients overwhelmed the clinics.
Therefore waiting list has been built up again. By running this model,
clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
The simple savings account is used to demonstrate the nature of a reinforcing loop. Change the initial amount and interest rate and run the model to see the implications of changing these values.
